The power of the test is stated as the chance of rejecting the null hypothesis when it is false. The efficiency of the test can be evaluated using the power of the test. the alternative hypothesis that two characteristics are associated. The Z-test for comparing sequential contingencies used the logit transformation for testing the null hypothesis of independence vs. According to Holland “the logit transformation is the log of the odds ratio, that is, the log of the proportion divided by one minus the proportion”. The logit function is based on a quantile function that is associated with the standard logistic distribution and has many applications in data transformation and data analysis, see. This type of test utilizes the idea of logit function and logit transformation. Z-test for comparing sequential contingencies has been applied for investigating whether there is a significant difference in sequential connection across the groups in \(2\times 2\) contingency table. The null hypothesis is rejected if the calculated Z-test value is greater than the tabulated value at a specific level of significance. the alternative hypothesis that two population means are not equal. The Z-test is applied to test the null hypothesis that two population means are equal vs. Usually, Z-test is applied when the population variance is assumed to be known and the sample size is larger than 30. The Z-test has been applied to investigate whether the means of two underlying populations are different.
0 Comments
Leave a Reply. |